Practical Guide to Monte Carlo

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dc.creatorJadach, S.
dc.date1999-06-29
dc.date.accessioned2026-07-07T05:57:05Z
dc.date.available2026-07-07T05:57:05Z
dc.descriptionI show how to construct Monte Carlo algorithms (programs), prove that they are correct and document them. Complicated algorithms are build using a handful of elementary methods. This construction process is transparently illustrated using graphical representation in which complicated graphs consist of only several elementary building blocks. In particular I discuss the equivalent algorithms, that is different MC algorithms, with different arrangements of the elementary building blocks, which generate the same final probability distribution. I also show how to transform a given MC algorithm into another equivalent one and discuss advantages of the various ``architectures''.
dc.identifierhttps://arxiv.org/abs/physics/9906056
dc.identifierhttp://arxiv.org/abs/physics/9906056
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/87854
dc.subjectComputational Physics
dc.subjectAstrophysics
dc.subjectHigh Energy Physics - Phenomenology
dc.subjectData Analysis, Statistics and Probability
dc.titlePractical Guide to Monte Carlo
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